JPS5876793A - Weather forecasting device - Google Patents

Abstract

PURPOSE:To obtain accurate rainfall probability in time when required, by a method wherein rainfall probability is provided by selecting the stored value of rainfall provability corresponding to an atmospheric pressure value or an atmospheric pressure variation value according to the fact that the present atmospheric pressure measured by a pressure sensor is within or out of the reference value range. CONSTITUTION:The present atmospheric pressure detected by a pressure sensor 18 is stored in a data memory 21 through a pressure-voltage converter 19 and an A-D converter 20, and is applied to a comparator 22 as well. The comparator 22 calculates the difference between the present value and an atmospheric pressure value at fixed time before. A display contents selecting circuit 23 selects the rainfall probability corresponding to the atmospheric pressure value to the atmospheric pressure variation value according to the fact whether the value is within the reference range or not, and displays it on a display 13. When the region is switched by a region selecting switch 16 from the Pacific side to the Japan-sea side, the selecting circuit 23 takes the absolute value of the atmospheric pressure variation, and selects the rainfall probability corresponding to the absolute value. The selecting circuit 23 also selects the rainfall probability in the forecasting time range set by a forecasting time selecting switch 17. Accordingly, the accurate rainfall probability is provided in time when required.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a barometer, and an object of the present invention is to enable accurate weather forecasting.

An embodiment of the invention is shown in FIGS. 1 to 8. That is, the two R hands measure the current atmospheric pressure value using a pressure sensor, and when the QEF value is outside the reference atmospheric pressure range, select the probability of rain from the correlation data of the atmospheric pressure value versus the probability of rain in the storage section. When the atmospheric pressure falls within the standard atmospheric pressure range, the atmospheric pressure change value is calculated based on the difference from the atmospheric pressure value several hours ago, and the corresponding rainfall probability is calculated from the correlation data of the atmospheric pressure change value vs. rain probability in the memory section. It is characterized by selection. According to correlation data between atmospheric pressure values and probability of rain created using meteorological data, it is clear that when the atmospheric pressure value is high, it is sunny, and when the filE value is low, it is rainy. At intermediate atmospheric pressures, it is generally unclear whether rain will occur or not, and there is a concern that predictions about the probability of rain are lacking. FIG. 8 shows a graph of atmospheric pressure values versus time. In this figure, the first and second standards Narita that divide atmospheric pressure values into large groups, intermediate groups, and small groups,
Set Li. Then, for the range M circle of L, the probability of rain is obtained from the atmospheric pressure change value versus the probability of rain. To put it another way, for a range of large pressure changes, data on pressure changes versus rainfall probability,
Moreover, in a small range, it means using more accurate data of atmospheric pressure value versus probability of rain, which makes it possible to predict fair weather and rain accurately.

As shown in Figure 1, this barometer has ff1 inside the case body 1.
It has a built-in Hc microcomputer (not shown), and a display section and a group of switches are provided on the surface of the case body l. Further, an air pressure detection sensor (not shown) is installed on the surface of the case main body l or is installed separately via a lead wire, so that a signal is inputted to the microcomputer. First of all, the display part is a weather guide at the top of the main body l that opens at a predetermined forecast time, that is, a picture showing the rain condition and the word "It's going to get worse" 2, a picture showing that it's going to rain and the word "chorisaka"
A display 3 with the words ``uphill'' with a picture indicating that it will be sunny, a display 5 with the word ``uphill'' and a picture showing sunny conditions, and a display 5 with the word ``getting better'' with a picture showing sunny conditions, and the corresponding section above each of them. Light emitting diodes 6 to 9 are provided for displaying. In addition, a display 10 for today's date and a display 11 for the current time are provided in the middle part of the surface of the main body 1, and the date of this month and the current time are outputted by a calendar function built into the microcomputer. Current atmospheric pressure value display 1 on the F stage of the main body 1
2 and a rainfall probability display 13 are provided, and the atmospheric pressure value detected by the atmospheric pressure sensor (11) is outputted from a microcomputer, and the rainfall probability calculated from the "a7 atmospheric pressure value" is displayed.

On the other hand, the operation unit is on the plate of the case to change (adjust) the time.
iJ is equipped with a switch 14 and a shade change switch 15.
The diary adjusts the display contents of display 10 and one hemorrhoid display 11. Also, on the side of the main salary l, there is a region selection switch 1 at the end.
6, and a prediction time selection switch 17 is provided on the surface of the main body 1, and this prediction time selection switch 17 targets the prediction of one river from how many hours later. r6J, r12J, r24
1 is set, and r6 is set as the knob corresponding to the latter value.
J, ri2J, rt8J, and "24" are set.

A block diagram and a flowchart of the microcomputer inside the case body 10 are shown in FIGS. 2 and 3. That is, first, the main configuration is to detect the current atmospheric pressure with the pressure sensor 18, convert the current pressure into a voltage with the pressure converter 19, and further convert the analog value into a digital amount with the A-D converter 20. . The digital atmospheric pressure value Xn is stored in the atmospheric pressure value data storage section 21 and is input to the atmospheric pressure comparison section 22 . This atmospheric pressure value data record part 21
The barometric pressure value for each time is stored, and the barometric pressure value of the pressure sensor 18 is written. The atmospheric pressure comparison unit 22 reads the atmospheric pressure value Xn-1 at 3 hours H from the current time (measurement time) from the atmospheric pressure value data storage unit 21, compares it with the atmospheric pressure value Xn, and calculates the difference DXn-Xn-Xn-□ The atmospheric pressure change value (■)Xn is calculated by the calculation. cii, input the pressure value hole I and the atmospheric pressure change value DXn into the display content selection circuit 23, and check whether the recorded or king value Xn is within the standard air pressure range circle or the atmospheric pressure change value D
It is determined whether or not Xn is larger than a predetermined reference value, and the rain probability of correlation data corresponding to the content of the determination is selected from the storage unit 24.

Then, the selected fc rainfall probability is passed through the driver 25.
) is displayed on the rainfall probability display 13. In this way, pressure sensor 1
By operating 8 when necessary, it is possible to know the accurate probability of rain.

Next, various dimensional configurations will be explained. The first is regional selection. This is based on the fact that the correlation between atmospheric pressure values and rainfall probability and the correlation between atmospheric pressure change values and rainfall probability differ depending on the region. This region is divided into the Pacific side and the Sea of Japan side,
For example, regarding the correlation between atmospheric pressure changes and rainfall probability, Figure 4 shows the correlation between atmospheric pressure changes and rainfall probability in Osaka (regional meteorological observatory) as a representative example of the Pacific Ocean (111+), and that of Kanazawa (local meteorological observatory) as a representative example of the Sea of Japan 1llll. is shown in Figure 5.As can be seen from these figures, the atmospheric pressure changes Dxn in Osaka
The probability of rain decreases as Dxn becomes more positive, whereas in Kanazawa, the probability of rain becomes minimum when the voltage change Dxn approaches O, and increases as Dxn becomes more positive or negative. Therefore, as shown in FIGS. 1 and 2, a region selection switch 16f is provided, and a rainfall probability storage section 25VC is
In addition to storing the correlation data of the probability of rainfall versus a certain Sosen for each region, the atmospheric pressure conversion value (6) Regarding the correlation data of the probability of rainfall versus changes in atmospheric pressure on the Pacific Ocean side, is stored. In the latter case, when the selection switch 16 switches to the Sea of Japan region, the absolute value of the atmospheric pressure change value DXn calculated by the atmospheric pressure comparison section 22 is calculated, and the rainfall probability storage section corresponds to the absolute value. Select 25 rain probabilities. Air pressure change value DX
The absolute value of n means that -DXn is treated as DXn. In other words, the characteristics shown in Figure 5 can be considered to be based on the position of the pressure change value O, and the characteristics of the absolute value of the pressure change value IDXn1 versus the probability of rain are as shown in Figure 6, which is the Pacific side characteristic. It shows the same characteristics as . Therefore, without storing data for each region in the storage section 25, the rainfall probability for each region can be obtained using only data on the Pacific Ocean side, and the storage capacity of the storage section 24 can be reduced.

The second is the prediction time lv that allows you to select multiple types of prediction time ranges.
1 selection switch 17 is provided, and the rainfall probability storage unit 25 stores correlation data of atmospheric pressure change versus rainfall probability for each predicted time range, and the correlation data of the predicted time range set by the selection switch 17 is used as the rainfall probability. The configuration is such that it is called from the storage unit 25 at the time of selection. Each data is created from meteorological data, but in this example, the data is calculated based on the current time (measurement point), 0.6.12 and 24 hours later, and between 6.12.18 and 24+1e from these times. It stores data for. With this configuration, it is possible to accurately know one hour of rainfall any time ahead that the user wants to know.

FIG. 3 shows the function of the season selection 26. Considering that the correlation between atmospheric pressure changes and rainfall probability varies depending on the season, the correlation data for each of the four seasons is stored in the storage unit 25 instead of the annual average data, and the date is set by the change switch 15. Based on this, the yearly calendar 27 function selects the season 7 and automatically calls up the corresponding data in the storage section.

FIG. 4 shows the function of the daily variation correction 28, in which the atmospheric pressure value is corrected by one standing interval. This is corrected by adding or subtracting the difference between the hourly average atmospheric pressure value and the daily average atmospheric pressure value to the measured value at the time of measurement. From July 1, 1980 in Osaka and Kanazawa
Table 1 shows the results of calculating the average value of the three-hourly atmospheric pressure values on June 30, 1980, and the average graph is shown in Figure 7.

In Figure 7, Q is the daily average value of atmospheric pressure, and Q2 is the hourly average of atmospheric pressure. From the table above and Figure 7, the maximum difference is 2.2 mb in Osaka, and the maximum in Kanazawa. Difference 1.5m
b, and reaches its maximum at 9:00 and 21:00, and at 3:00,
It can be seen that it becomes minimum at 15R.

Therefore, the good rainfall probability of n degrees is stored in the storage unit 24 based on the past correlation data even though the atmospheric pressure value has been corrected for daily variation.For example, at 9 o'clock, a (mb) is subtracted from the measured atmospheric pressure value, and at 15 o'clock In this case, if the measured atmospheric pressure value is corrected for daily variation by adding b (mb) to obtain the atmospheric pressure change (9), the predicted fft+w will increase. This modification is based on the function of the calendar 27 in which the date is set.
This is done by automatically correcting the atmospheric pressure value output from the A-Dg converter 20 using the daily change correction 28.

As described above, the rain gauge of the present invention measures the current atmospheric pressure value using the pressure sensor, and when the current atmospheric pressure value is outside the reference atmospheric pressure range, calculates the probability of rain from the correlation data of the atmospheric pressure value versus the probability of rain in the storage section. When the atmospheric pressure value is within the standard atmospheric pressure range, the atmospheric pressure change value is calculated based on the difference from the atmospheric pressure value several hours ago, and the correlation data between the atmospheric pressure change value and the probability of rain is calculated in the memory unit. Since the rain probability is selected, there is an effect that a more accurate rain probability can be known when necessary.

[Brief explanation of drawings]

Fig. 1 is an external appearance and perspective view of an embodiment of the present invention, Fig. 2 is a block diagram of the operation of the microcomputer, Fig. 3 is its flowchart, Fig. 4 is a graph of atmospheric pressure changes versus rainfall probability characteristics in Osaka, Figure 5 is a characteristic diagram of the time (lO) pressure change vs. rainfall probability in Kanazawa, Figure 6 is a characteristic diagram of the absolute value of atmospheric pressure change vs. rainfall probability, Figure 7 is a characteristic diagram of the daily atmospheric pressure value, and Figure 8 is a characteristic diagram of the atmospheric pressure change versus rainfall probability.
The figure is a graphical representation of the atmospheric pressure value characteristics for annual time. 1...Case body, 13...Rainfall probability display, 16.
... Region selection switch, 17... Prediction time selection switch, 18... Pressure sensor, 21... Atmospheric pressure value data storage section, 22... Atmospheric pressure comparison section, 23... Display content selection circuit, 24 ...Rainfall probability storage section, 27...Season selection, 29...Daily change correction, K, L...Reference atmospheric pressure, M.
...Reference atmospheric pressure range (11) Procedural amendment (voluntary) March 13, 1980, 1982 Peacetime Permit Application No. 176954 2, Name of the invention: barometer 3, Relationship with the case of the person making the amendment Applicant's address 1048 Kadoma, Kadoma City, Osaka Prefecture Name (
583) Matsushita Electric Works Co., Ltd. 6, Specification to be amended 7, Contents of the amendment (1) The statement of the scope of claims in the specification is amended as shown in the attached sheet. (2) Specification page 6, line 19, page 7, line 6, page 7, line 13, page 8, line 19, page 8, line 2, page 8, line 13, "Storage unit 25" should be corrected to "Storage unit 24." 2. Claims Correlation between atmospheric pressure value and probability of rain A first storage unit that stores correlation data between atmospheric pressure change value and probability of rain, a pressure sensor that measures the current atmospheric pressure, and a sensor that measures the current atmospheric pressure several hours ago. a second storage section storing an atmospheric pressure value, and when the atmospheric pressure value measured by the pressure sensor is within a certain reference atmospheric pressure range, a rain probability corresponding to the atmospheric pressure value is selected from the first storage section. Then, when the atmospheric pressure value is within the reference atmospheric pressure range, an atmospheric pressure change value is calculated from the difference between the atmospheric pressure difference and the atmospheric pressure value for a predetermined time of 11tr read from the second e-memory, and X, A rain gauge, characterized in that a corresponding rainfall rate is selected from the first rainfall rate. (2)

Claims (1)

[Claims] A first memory section that stores correlation data of atmospheric pressure values versus rainfall probability and ten-point correlation data of atmospheric pressure change values versus rainfall probability, a pressure sensor that measures the current atmospheric pressure, and a pressure sensor that stores atmospheric pressure values from several hours ago. a second storage section storing the information, and selecting a rainfall probability corresponding to the atmospheric pressure value from the first storage section when the atmospheric pressure value measured by the pressure sensor is outside a certain reference atmospheric pressure range; When the atmospheric pressure value is within the standard atmospheric pressure range, before that atmospheric pressure and gTI No. 2
An atmospheric pressure change value is calculated based on the difference between the atmospheric pressure value recalled from the memory section of a predetermined time before, and a rain probability corresponding to this atmospheric pressure change value is selected from the first memory section. Rain gauge.